Today, the data security sector opened actively, Guohua Network An rose to the limit, and Anbotong, NSFOCUS Technology, Nantian Information, etc. opened high.
In the midst of doubts, artificial intelligence has been resurrected again, and it has started another wave of markets this year. A while ago, the market speculated on optical modules with AI computing power, such as Zhongji Xuchuang, Xinyisheng, etc., and the current momentum of optical modules has come down, and then AI servers have also been speculated, such as Industrial Fortune Union, Zhongke Shuguang, Inspur Information, Unigroup and so on. Now the data branch in artificial intelligence is rising, the People's Network has appeared three consecutive boards, and the safety supervision Guohua Network Security in the artificial intelligence market has harvested nine days and six boards.
For artificial intelligence, the question that everyone is concerned about is whether these subdivisions that rose sharply last week can be sustained, telecom operations, telecommunications equipment, intellectual property, remote office, ChatGPT, cloud computing, big data, whether these sectors can follow strongly, some have been greatly adjusted before, and the continuity is also intermittent.
Information security and data right confirmation is the management measures in the field of artificial intelligence jointly issued by eight ministries and commissions last week, the content emphasizes copyright, emphasizes legal sources, which is a substantial benefit to the market to do data security and data right confirmation enterprises, from information security and data right confirmation of this sector index regulation gap, especially information security in the number of on the board is particularly large, there should be some market.
And we also found that the first to increase the limit is a wave of manufacturers with core technology advantages, such as the strongest Guohua Network Security, the core brand Love Encryption provides security monitoring and other products and services for national regulatory units, and has established a domestic professional mobile binary reverse analysis team, continuing to update and iterate the core capabilities and products, and constantly meeting the security needs of various mobile applications and scenarios, and its research results are applicable to all kinds of general mobile application objects, such as Android, IOS, SDK, mini programs, Hongmeng, public accounts, IOTs, etc.
Technically, Guohua Network Security has obtained a total of 102 computer software copyrights and 32 patented technologies, and the technical scope covers mobile application security, personal information security, 5G, and industrial Internet, and has initially formed a technology group and intellectual property system with independent intellectual property rights as the core, many of which have domestic advanced levels.
Nowadays, with the development of artificial intelligence, the technology of cyber attackers is more flexible, the scope of attacks is much larger, network security incidents have become diverse, and traditional security protection applications are more. But network active defense is not yet mature, mostly in research and exploration, compared with passive defense, network active defense is more advanced, can go ahead, can avoid network attackers before things happen, and then interfere with attacker cognition, and then do some defense strategies.
In fact, after 2000, with the commercialization of the Internet and the rapid growth of the scale of netizens, the second generation of network security technology was born, the core of which is the whitelist mechanism, mostly because worms and viruses can use large-scale network attacks, and the first-generation blacklist mechanism has been ineffective. In 2014, cybersecurity rose to the national strategy. After 2015, big data analysis based on artificial intelligence was born as the third generation of network security technology, and the "Cybersecurity Law" was introduced in 2016, etc., in the field of network security, there should be a favorable policy every two years.
As a technical network security vendor, as a leader in the field of network security, it should be able to enjoy this wave of dividends, but in the past two years, the financial situation of Guohua Network Security is really not very good, and the net profit in 2021 and 2022 is -509 million yuan and -595 million yuan respectively; Non-net profit attributable to parent deduction was -521 million yuan and -592 million yuan, respectively.
In the Decision of the Shenzhen Securities Regulatory Bureau on Ordering Corrective Measures against Shenzhen Guohua Wangan Technology Co., Ltd. ([2023] No. 84), Guohua Wangan had three violations: "fictitious accounts receivable collection", "imprudent provision for inventory price decline", and "inaccurate annual report information disclosure".
In this regard, in 2020 and 2021, some third-party payment collections from Shenzhen Ai Encryption Technology Co., Ltd., a subsidiary of Guohuanet Security Capital, ultimately came from performance compensation obligors, which constituted fictitious accounts receivable collection, which did not comply with the provisions of Article 3, paragraph 1 of the Administrative Measures for Information Disclosure of Listed Companies (CSRC Order No. 182, the same below).
By the end of the first quarter of this year, Guohua Wangan was still in a loss, of which the net profit was -07 million yuan and the non-net profit attributable to the parent deduction was -08 million yuan.
In the past two years, with the continuous increase in the importance of network security, Guohua Network Security is expected to benefit from the growth of market demand, and I don't know if the performance can be good.
The industry bull reported less than expected, what do you think?
In the past two days, the company has successively issued interim reports, and some of the expected performance of artificial intelligence stocks is not good, and the first thing that comes to mind may be iFLYTEK.
The performance is obviously lower than expected, and Zhongji Xuchuang, mainly doing optical module business, with the rise of optical modules has also risen a lot, Liante Technology in the optical module sector rose by 768.83% of the stock price, which is almost the fastest rise in artificial intelligence, Cambridge Technology, Zhongji Xuchuang, etc. also performed eye-catching. With the release of half-year report forecasts one after another, the performance of optical module manufacturers has become the focus of everyone's attention, and it is found that the performance and stock price are too different.
Cambridge Technology expects to achieve a net profit attributable to the parent of 150 million yuan to 165 million yuan, which is a turnaround compared with the same period of the previous year. Optical module leader Zhongji Xuchuang also announced a few days ago that it is expected that the net profit attributable to the parent will increase by 11.69% to 36.05% year-on-year. Although it is growing, everyone is not happy, if you really ask why? It's not that the performance is not good, but it doesn't follow the stock price as everyone thinks.
There is also a wave of information, but also with the wave of artificial intelligence, sought after by many people, in fact, the performance is also unsatisfactory, not as expected, the net profit in the first half of the year has fallen significantly, and the profit in the second quarter has fallen a lot. The net profit in the first half of this year was 280 million to 380 million, but the market expected that the net profit could reach 800 million to 1 billion, and not even half of the data was available.
If the individual stocks in the direction of artificial intelligence, especially the manufacturers that are still in the upstream of the industrial chain such as hardware equipment, have not been able to make money, then for the entire industry chain, the performance of the midstream and downstream manufacturers may not be guaranteed, after all, the hottest in the market at that time was these upstream manufacturers. Inspur Information, Zhongji Xuchuang, iFLYTEK are almost the leading bulls of the artificial intelligence track, these upstream leading manufacturers can not reflect any benefits, profits are not as expected, or even significantly lower than expected, then most of the other second- and third-tier manufacturers may have worse profits.
On the one hand, the performance is not as expected, on the other hand, the stock price that has risen sharply, how to choose seems to be impossible, choose the stock price that has risen sharply, you must think about it, whether the future performance can be achieved, can it support high valuation and higher growth? Maybe even if the third quarter report is good and the profit rises sharply, it may not be able to erase such a high stock price.
The time is a little longer, the second half of the performance report. If even the most upstream manufacturers can't make money, then how can this concept be fulfilled later?
After these big bulls announced their half-year reports that fell short of expectations, what is the biggest problem in the direction of artificial intelligence? That is, some manufacturers have just made equipment and just made a little achievement, and they have not made much money, and they are infinitely exaggerated.
360 achieved a total operating income of about 4.57 billion yuan in the first half of the year, a year-on-year decrease of about 5.19%, and the decline was narrower than the same period in 2022. In the second quarter, the company achieved an operating income of about 2.604 billion yuan, a year-on-year increase of 13.32%. According to the announcement, under the circumstance that the company's overall gross profit margin was basically the same as the same period of the previous year, the net profit attributable to the parent decreased by 42.21% compared with the same period of the previous year, and the loss in the second quarter was about 44 million yuan, a significant loss of 92.9% year-on-year. 360's claim is that the advertising services business is declining, but it is true that the big model it has not made money yet.
In the past few months, everyone has been rushing to work, even Google, domestic manufacturers and startups are engaged in their own ChatGPT, as if if if not launching a large model, it is out of touch with the high-tech era. At that time, many manufacturers launched models, just to launch models and prove that they had products. It's an exaggeration that doesn't actually make a profit, especially for big models like second-tier or even third-rate vendors.
Lv Changshun (Cairns) Certificate number: A0150619070003. [The above content only represents personal views, does not constitute a basis for trading, the stock market is risky, investment needs to be cautious]